GA4 & KPIs
Project: Landing Page Analytics and Conversion Optimization for a MedTech AI Platform
Product Analytics, UX Evaluation & Conversion Optimization
In this project, I designed and evaluated a lead-generation landing page for a MedTech-oriented AI platform with the objective of understanding how users interact with the page and whether it effectively converts interest into qualified leads. The focus was not on superficial metrics such as clicks alone, but on gaining meaningful insights into user behavior, engagement, and trust-building across the entire journey.
A central part of the work was defining a clear and focused KPI framework. Instead of tracking a large number of secondary metrics, I selected a small set of indicators that directly reflect the performance of a landing page: traffic, engagement rate, scroll depth, form submissions, and conversion rate. These metrics made it possible to evaluate the complete user journey from first visit to conversion while keeping the analysis clear and actionable.
The landing page was implemented and monitored using Google Analytics 4, enabling structured tracking of user behavior and interactions. The results showed that 32 visitors accessed the page without paid promotion, indicating organic and targeted interest. Of these visitors, 12 completed the form, exceeding the initial conversion target and demonstrating that the value proposition and structure of the page were effective.
A deeper analysis of engagement metrics revealed that users actively interacted with the content rather than leaving quickly. Interaction data showed that the content, structure, and messaging were relevant to the target audience and encouraged exploration of the page.
Scroll depth analysis provided insight into how far users progressed through the content and highlighted opportunities for optimization in layout, visual hierarchy, and content prioritization. This made it possible to identify concrete improvements to guide users more effectively toward the call to action.
An important principle in this project was the deliberate limitation of tracked KPIs. Additional metrics such as traffic sources, device breakdown, or funnel steps were intentionally excluded at this stage to maintain focus on the key question:
Does the page attract relevant visitors, engage them, and convert them into leads?
Based on the findings, I derived concrete optimization opportunities, including improvements to layout structure, visual hierarchy, and content prioritization to increase scroll depth and further strengthen conversion performance.
Through this project, I strengthened my ability to:
define meaningful and actionable KPIs
apply analytics to evaluate user behavior and product performance
interpret engagement and conversion data in context
identify UX and content optimization opportunities
connect product thinking, marketing analytics, and user experience
Measuring Success - GA4 Insights
Analysis
The landing page reached 32 visitors and generated 12 completed forms, resulting in a 6.9% conversion rate, exceeding the defined target and confirming effective lead generation.
Users interacted actively with the content, averaging 2.8 interactions per session, indicating high relevance and engagement.
Scroll depth of 33.7% was identified as the primary optimization area for further improvement of content flow and visual hierarchy.
Targets exceeded. Efficient lead generation achieved.
Next step: A/B testing and scroll optimization to further increase conversion performance.
Result: Strong engagement, clear UX, and validated product value.
Anika’s AI Insights Platform demonstrates how structured analytics and focused product thinking can turn a landing page into a measurable and continuously improvable acquisition channel.
